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105, no. Funeral for Nadine Girault will take place Saturday | CTV News ISBN: 978-981-16-6053-5. Countdowns to conference deadlines in the field of autonomous driving. Unsupervised Deep Subgraph Anomaly Detection. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao. This workshop aims to bring together researchers and practitioners working on different facets of these problems, from diverse backgrounds to share challenges, new directions, recent research results, and lessons from applications. All papers must be submitted in PDF format using the AAAI-22 author kit. 2022. The papers may consist of up to seven pages of technical content plus up to two additional pages for references. Jos Miguel Hernndez-Lobato, University of CambridgeProf. 27, 2022: Please check out Speical Days at, Apr. See ICDM Acceptance Rates for more information. Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. and deep learning techniques (e.g. [materials][data]. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. 20, 2022: We have announced Call for Nominations: , Jan. 25, 2022: Sponsorship Opportunities is available at, Jan. 6, 2022: Call for KDD Cup Proposals is available at, Dec. 26, 2021: Call for Workshop Proposals is available at, Dec. 26, 2021: Call for Tutorials is available at, Nov. 24, 2021: Those who are interested in serving as a PC, please feel free to fill in this, Nov. 12, 2021: Call for Research Track Papers is available at, Nov. 12, 2021: Call for Applied Data Science Track Papers is available at. Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2020), (acceptance rate: 20.6%), accepted. Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. This policy also applies to papers that overlap substantially in technical content with papers previously published, accepted, or under review. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals: 1) Identify and understand the challenges in applying AI to specific science and engineering problems2) Develop, adapt, and refine AI tools for novel problem settings and challenges3) Community-building and education to encourage collaboration between AI researchers and domain area experts. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. The first AAAI Workshop on AI for Design and Manufacturing, ADAM, aims to bring together researchers from core AI/ML, design, manufacturing, scientific computing, and geometric modeling. 1799-1808. 12 (2014): 90-94. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. of Graz), Cynthia Rudin (Duke Univ.) DI@KDD2022 Call for Papers Organization Program Keynote Talk Accepted Papers Call for Papers Document Intelligence Workshop @ KDD 2022 UPDATES August 6: Final versions of the papersare posted! And with particular focuses but not limited to these application domains: Our program consists of two sessions: academic session and industry session. Some examples of the success of information theory in causal inference are: the use of directed information, minimum entropy couplings and common entropy for bivariate causal discovery; the use of the information bottleneck principle with applications in the generalization of machine learning models; analyzing causal structures of deep neural networks with information theory; among others. August 14-18, 2022. for causal estimation in behavioral science. Securing personal information, genomics, and intellectual property, Adversarial attacks and defenses on biomedical datasets, Detecting and preventing spread of misinformation, Usable security and privacy for digital health information, Phishing and other attacks using health information, Novel use of biometrics to enhance security, Machine learning (including RL) security and resiliency, Automation of data labeling and ML techniques, Operational and commercial applications of AI, Explanations of security decisions and vulnerability of explanations. While we are planning an in-person workshop to be held at AAAI-22, we aim to accommodate attendees who may not be able to travel to Vancouver by allowing participation via live virtual invited talks and virtual poster sessions. Welcome to DLG-KDD'22! - Bitbucket This workshop seeks to explore new ideas on AI safety with particular focus on addressing the following questions: Contributions are sought in (but are not limited to) the following topics: To deliver a truly memorable event, we will follow a highly interactive format that will include invited talks and thematic sessions. Hyperparameters such as the number of layers, the number of nodes in each layer, the pattern of connectivity, and the presence and placement of elements such as memory cells, recurrent connections, and convolutional elements are all manually selected. What are the primary lessons learned from the model failures? In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Connor Coley, Massachusetts Institute of TechnologyProf. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. We invite novel contributions following the AAAI-22 formatting guidelines, camera-ready style. The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and . The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. 3434-3440, Melbourne, Australia, Aug 2017. Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. Optimal transport theory, including statistical and geometric aspects; Gromov-Wasserstein distance and its variants; Bayesian inference for/with optimal transport; Gromovization of machine learning methods; Optimal transport-based generative modeling. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. 2022. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs Pakdd 2022 This cookie is set by GDPR Cookie Consent plugin. "Robust Regression via Heuristic Hard Thresholding". ), Graduate (master's, specialized graduate diploma (DESS), etc. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. The workshop will include several technical sessions, a virtual poster session where presenters can discuss their work, to further foster collaborations, multiple invited speakers covering crucial aspects for the practical deep learning in the wild, especially the efficient and robust deep learning, some tutorial talks, the challenge for efficient deep learning and solution presentations, and will conclude with a panel discussion. Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. These cookies ensure basic functionalities and security features of the website, anonymously. 689-698, Barcelona, Spain, Dec 2016. This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. We invite the submission of original and high-quality research papers in the topics related to biased or scarce data. We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. These challenges are widely studied in enterprise networks, but there are many gaps in research and practice as well as novel problems in other domains. text, images, and videos). Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons second headquarter, New initiatives at KDD 2022: undergraduate research and poster session, Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel, Workshops and hands-on tutorials on emerging topics. [slides] How can we develop solid technical visions and new paradigms about AI Safety? The consideration and experience of adversarial ML from industry and policy making. Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), New Orleans, US, Feb 2018, pp. Ferdinando Fioretto (Syracuse University), Emma Frejinger (Universit de Montral), Elias B. Khalil (University of Toronto), Pashootan Vaezipoor (University of Toronto). The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. This website uses cookies to improve your experience while you navigate through the website. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. Outcomes include outlining the main research challenges in this area, potential future directions, and cross-pollination between AI researchers and domain experts in agriculture and food systems. In addition to the keynote and presentations of accepted works, the workshop will include both a general discussion session on defining and addressing the key challenges in this area , and a lightning tutorial session that will include brief overviews and demos of relevant tools, including open source frameworks such as Ecole. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. 1, 2022: Call For Paper: The Undergraduate Consortium at SIGKDD 2022 is available at, Mar. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. SIGKDD Explorations, Vol. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Graph Neural Networks: Foundations, Frontiers, and Applications. Liang Zhao's Homepage - Emory University IEEE Computer (impact factor: 3.564), vo. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. Recently self-supervised approaches for speech/audio processing are also gaining attention. NOTE: Mandatory abstract deadline on Oct 13, 2022. AI System Robustness: participants will consider techniques for detecting and mitigating vulnerabilities at each of the processing stages of an AI system, including: the input stage of sensing and measurement, the data conditioning stage, during training and application of machine learning algorithms, the human-machine teaming stage, and during operational use. Iclr 2022 Research track papers reporting the results of ongoing or new research, which have not been published before. GNES: Learning to Explain Graph Neural Networks. The 19th International Conference on Data Mining (ICDM 2019), long paper, (acceptance rate: 9.08%), Beijing, China. Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. Online marketplace is a digital platform that connects buyers (demand) and sellers (supply) and provides exposure opportunities that individual participants would not otherwise have access to. All accepted papers will be archived on the workshop website, but there will not be formal proceedings. Additionally, adversaries continue to develop new attacks. Integration of probabilistic inference in training deep models. For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers.